Advances in Soft Computing and Machine Learning in Image Processing

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Science & Nature, Technology, Electronics, General Computing
Cover of the book Advances in Soft Computing and Machine Learning in Image Processing by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319637549
Publisher: Springer International Publishing Publication: October 13, 2017
Imprint: Springer Language: English
Author:
ISBN: 9783319637549
Publisher: Springer International Publishing
Publication: October 13, 2017
Imprint: Springer
Language: English

This book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide an overview of the application of these tools in image processing.

The material has been compiled from a scientific perspective, and the book is primarily intended for undergraduate and postgraduate science, engineering, and computational mathematics students.  It can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence, and is a valuable resource for researchers in the evolutionary computation, artificial intelligence and image processing communities.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide an overview of the application of these tools in image processing.

The material has been compiled from a scientific perspective, and the book is primarily intended for undergraduate and postgraduate science, engineering, and computational mathematics students.  It can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence, and is a valuable resource for researchers in the evolutionary computation, artificial intelligence and image processing communities.

More books from Springer International Publishing

Cover of the book Countering Islamophobia in Europe by
Cover of the book Economic and Environmental Policy Issues in Indian Textile and Apparel Industries by
Cover of the book Transactions on Computational Collective Intelligence XXVIII by
Cover of the book Learning and Teaching British Values by
Cover of the book Resilience and Sustainability in Relation to Natural Disasters: A Challenge for Future Cities by
Cover of the book Renewable Energy and Sustainable Technologies for Building and Environmental Applications by
Cover of the book Ethics is a Daily Deal by
Cover of the book The Transformation of Women’s Collegiate Education by
Cover of the book e-Government and Employment Services by
Cover of the book Pulsed Electrical Discharges for Medicine and Biology by
Cover of the book Solid State Lighting Reliability Part 2 by
Cover of the book The Principal Agent Model and the European Union by
Cover of the book Renewal Theory for Perturbed Random Walks and Similar Processes by
Cover of the book Expressions of Radicalization by
Cover of the book Budapest Building Managers and the Holocaust in Hungary by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy